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Mahnoor Khalid, Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbala and Hafiz Tayyab Rauf
In the twenty-first century, machine learning is a significant part of daily life for everyone. Today, it is adopted in many different applications, such as object recognition, object classification, and medical purposes. This research aimed to use deep ...
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Volker Mohler, Edyta Paczos-Grzeda and Sylwia Sowa
Cereal production is of strategic importance to the world economy. Although the primary aim of breeding programs is to develop cultivars with improved agronomic performance, including high grain yield and grain quality, as well as disease and lodging res...
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Waheeda Abd Wahab, Noraini Talip, Syazwani Basir, Muhamad Afiq Akbar, Mohd Faiz Mat Saad and Hamidun Bunawan
Bacterial leaf streak (BLS) caused by bacterium Xanthomonas oryzae pv. oryzicola (Xoc) is one of the most prominent rice diseases. BLS causes a significant reduction in paddy yields. However, there are limited studies and a lack of information regarding ...
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Md. Reduanul Haque and Ferdous Sohel
Eggplant is a popular vegetable crop. Eggplant yields can be affected by various diseases. Automatic detection and recognition of diseases is an important step toward improving crop yields. In this paper, we used a two-stream deep fusion architecture, em...
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Pattarapol Khamsaw, Chompunut Lumsangkul, Anuruddha Karunarathna, Nuttacha Eva Onsa, Sawaeng Kawichai, Bajaree Chuttong and Sarana Rose Sommano
In this study, we assessed the quality of essential oil recovered from fruit drop biomass and assessed its usefulness in preventing postharvest diseases in the tangerine ?Sai-Namphaung?. Greening was the primary cause of the fruit drop, based on the endu...
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